Full-Stack Developer (End-to-End Ownership) at Mindlr Inc · Remote only · 0 - 2 years · ₹3L - ₹4L / yr · Bootstrapped · Remote only · Posted 6 Jan 2026

We’re looking for a full-stack generalist who can handle the entire product lifecycle from frontend, backend, APIs, AI integrations, deployment, and everything in between. Someone who enjoys owning features from concept to production and working across the entire stack

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Role: Full Stack JavaScript/TypeScript Developer
We're looking for a Full Stack Developer with strong JavaScript/TypeScript fundamentals to join our team and help build AI-powered product features.
Responsibilities:
Core Skills & Competencies (Must have):
- Strong proficiency in TypeScript and solid JavaScript fundamentals
- Front-end development skills with the React ecosystem (Next.js), including state management libraries like Zustand, Redux
- Expertise in HTML/CSS, with experience creating responsive and adaptive designs
- Experience building AI-assisted features such as chatbots, content generation, semantic search, recommendations, or intelligent automation
- Experience with RESTful services and APIs
- Familiarity with AI SDKs, LLM APIs, and vector databases
- Experience with SQL and database management, understanding relational databases, and ability to write efficient and optimized queries
- Understanding of database design and management, especially with SQL
- Experience with version control systems such as Git
Desired Skills & Competencies (Nice to have):
- Experience with event-driven architecture
- Experience with cloud services like Azure or AWS
- Familiarity with modern DevOps practices
- Understanding of security practices and web application security
- Familiarity with CI/CD pipelines
What we're looking for:
- Strong command over JS/TS fundamentals, not just framework-level knowledge
- Candidates with internship experience or a background from a reputed engineering college preferred
- Please share your GitHub link, portfolio, or details of projects you've built (personal, academic, or professional)
Total Experience: 4+ years
Mode of Hire: Permanent
Required Skills Set (Mandatory): HTML, JavaScript, Node.js, Express.js, MongoDB, React/Next.js, AI Integration (LLMs/APIs - OpenAI, Anthropic, Gemini)
Desired Skills (Good if you have): Cloud Platforms (AWS), System Design, Application Security
What is the role all about?
We're hiring full-stack engineers who build with AI, not the traditional way. You should be fluent in modern web engineering, primarily Node.js, and just as fluent in using LLMs and AI tools (Cursor, Claude Code, and similar) to ship fast. Work that once took a month should take a week; what took a week should take a day.
The role spans a range, from architecting backends for non-trivial products like assistants and agents, to rapidly turning a requirement into a clean, customer-facing app or MVP. Be strong in at least one area, be comfortable across the system as a whole, and tell us where you're strongest so we can place you accordingly.
What will you do?
- Plan, build, and ship product features end-to-end, with AI embedded where it has the most impact.
- Integrate LLMs and AI APIs into production-grade applications.
- Use AI tools to prototype, build, and deliver at high speed without sacrificing quality.
- Design scalable APIs and data models with Node.js, Express.js, and MongoDB.
- Build responsive, performant, customer-facing interfaces with React/Next.js.
- Contribute to design discussions, code reviews, and architectural decisions.
What are we looking for?
AI leverage:
- You've shipped real things using LLMs or AI APIs and instinctively reach for AI to move faster.
- Comfortable with prompt engineering and judging AI output for production-readiness.
Engineering depth and delivery:
- Solid fundamentals: problem-solving, data structures, and how systems fit together.
- At least 2+ years across frontend (React/Next.js), APIs (Node.js/Express.js), and databases (MongoDB).
- You write clean, production-grade code and you ship.
- Knowledge of application security or ethical hacking is an advantage.
Culture
- Work with performance-oriented teams driven by ownership and passion.
- Learn to design systems for high accuracy, efficiency, and scalability.
- No strict deadlines, focus on delivering quality work.
- Meritocracy-driven, candid culture. No politics.
- Very high visibility regarding which startups and markets are exciting globally.
About Tracxn
Tracxn (Tracxn.com) is a Bangalore-based product company that provides a research and deal-sourcing platform for Venture Capital, Private Equity, Corp Dev, and professionals in the startup ecosystem.
We are a team of 800+ working professionals serving customers across the globe. Our clients include Funds such as Andreessen Horowitz, Matrix Partners, and GGV Capital, as well as Large Corporates such as Citi, Embraer & Ferrero.
Founders
- Neha Singh (ex-Sequoia, BCG | MBA - Stanford GSB)
- Abhishek Goyal (ex-Accel Partners, Amazon | BTech - IIT Kanpur)
About Technology Team
Tracxn's Technology team is 50+ members strong and growing. The technology team is subdivided into multiple smaller teams, each of which owns one or more services/components of the technology platform. Ours is a young team of motivated engineers with a minimal management structure, in which almost everyone is actively involved in technical development and design. We have a team-centric culture where ownership and responsibility for a feature or module lie with a team rather than an individual.
We work on an array of technologies, including but not limited to ReactJS, Next.js, Storybook, Webpack, Node, Mongo, AWS Lambda, Spring, Elastic Stack, MySQL, Kafka, Redis, Ansible, etc.
We value ownership, continuous learning, consistency, and discipline as a team.
Total Experience: 4+ years
Mode of Hire: Permanent
Required Skills Set (Mandatory): HTML, JavaScript, Node.js, Express.js, MongoDB, React/Next.js, AI Integration (LLMs/APIs - OpenAI, Anthropic, Gemini)
Desired Skills (Good if you have): Cloud Platforms (AWS), System Design, Application Security
What is the role all about?
We're hiring full-stack engineers who build with AI, not the traditional way. You should be fluent in modern web engineering, primarily Node.js, and just as fluent in using LLMs and AI tools (Cursor, Claude Code, and similar) to ship fast. Work that once took a month should take a week; what took a week should take a day.
The role spans a range, from architecting backends for non-trivial products like assistants and agents, to rapidly turning a requirement into a clean, customer-facing app or MVP. Be strong in at least one area, be comfortable across the system as a whole, and tell us where you're strongest so we can place you accordingly.
What will you do?
- Plan, build, and ship product features end-to-end, with AI embedded where it has the most impact.
- Integrate LLMs and AI APIs into production-grade applications.
- Use AI tools to prototype, build, and deliver at high speed without sacrificing quality.
- Design scalable APIs and data models with Node.js, Express.js, and MongoDB.
- Build responsive, performant, customer-facing interfaces with React/Next.js.
- Contribute to design discussions, code reviews, and architectural decisions.
What are we looking for?
AI leverage:
- You've shipped real things using LLMs or AI APIs and instinctively reach for AI to move faster.
- Comfortable with prompt engineering and judging AI output for production-readiness.
Engineering depth and delivery:
- Solid fundamentals: problem-solving, data structures, and how systems fit together.
- At least 2+ years across frontend (React/Next.js), APIs (Node.js/Express.js), and databases (MongoDB).
- You write clean, production-grade code and you ship.
- Knowledge of application security or ethical hacking is an advantage.
Culture
- Work with performance-oriented teams driven by ownership and passion.
- Learn to design systems for high accuracy, efficiency, and scalability.
- No strict deadlines, focus on delivering quality work.
- Meritocracy-driven, candid culture. No politics.
- Very high visibility regarding which startups and markets are exciting globally.
About Tracxn
Tracxn (Tracxn.com) is a Bangalore-based product company that provides a research and deal-sourcing platform for Venture Capital, Private Equity, Corp Dev, and professionals in the startup ecosystem.
We are a team of 800+ working professionals serving customers across the globe. Our clients include Funds such as Andreessen Horowitz, Matrix Partners, and GGV Capital, as well as Large Corporates such as Citi, Embraer & Ferrero.
Founders
- Neha Singh (ex-Sequoia, BCG | MBA - Stanford GSB)
- Abhishek Goyal (ex-Accel Partners, Amazon | BTech - IIT Kanpur)
About Technology Team
Tracxn's Technology team is 50+ members strong and growing. The technology team is subdivided into multiple smaller teams, each of which owns one or more services/components of the technology platform. Ours is a young team of motivated engineers with a minimal management structure, in which almost everyone is actively involved in technical development and design. We have a team-centric culture where ownership and responsibility for a feature or module lie with a team rather than an individual.
We work on an array of technologies, including but not limited to ReactJS, Next.js, Storybook, Webpack, Node, Mongo, AWS Lambda, Spring, Elastic Stack, MySQL, Kafka, Redis, Ansible, etc.
We value ownership, continuous learning, consistency, and discipline as a team.
Full Stack Developer
Experience: 3 to 5 Years
Location: Hyderabad
Interview Mode: Face-to-Face (F2F)
Work Mode: Hybrid
Employment Type: Full-Time
Note: Immediate joiners or candidates with a notice period of up to 15 days are preferred. We are only considering candidates who can attend a face-to-face interview at our office.
Role Summary;
We are looking for a Full Stack Developer (React.js + Python + AWS + AI) to design, develop, and maintain scalable web applications and AI-powered solutions. The ideal candidate must have strong experience in React.js, Python, AWS, and AI development. Hands-on AI development experience is mandatory for this role.
Mandatory AI Skill Requirement - AI development experience is mandatory. Candidates without hands-on AI development experience will not be considered.
Candidates must have practical experience in one or more of the following:
- Building AI-powered applications.
- Working with Large Language Models (LLMs).
- Prompt Engineering.
- Retrieval-Augmented Generation (RAG).
- AI agent development using LangChain, LangGraph, or similar frameworks.
- Integrating AI models through APIs such as OpenAI, Anthropic, or Gemini.
- Developing AI-enabled workflows and intelligent business applications.
Note: Experience using AI coding assistants (ChatGPT, GitHub Copilot, Claude, Gemini, etc.) alone does not meet this requirement. Candidates must have actual AI application development experience.
Key Responsibilities
- Develop and maintain full-stack web applications.
- Build responsive frontend applications using React.js.
- Develop backend REST APIs using Python (FastAPI / Django / Flask).
- Design, develop, and integrate AI-powered features into applications.
- Develop and deploy applications on AWS cloud services.
- Work with relational databases (MySQL / PostgreSQL / SQL Server).
- Integrate frontend and backend components.
- Follow Agile/Scrum development processes.
- Write clean, maintainable, and production-ready code.
- Collaborate with cross-functional teams to deliver scalable and high-quality solutions.
Required Skills (Mandatory)
- 3 to 5 years of Full Stack development experience.
- Strong experience in React.js.
- Strong backend development experience in Python.
- Hands-on experience with AWS cloud services.
- Hands-on AI development experience (Mandatory).
- Experience with LLMs, Prompt Engineering, RAG, LangChain, LangGraph, or similar AI frameworks.
- REST API development experience.
- Strong SQL database experience.
- Git and Agile development workflow.
- Good understanding of software design principles and best practices.
Good to Have
- Docker
- CI/CD pipelines
- Microservices architecture
- Kubernetes
- Experience with vector databases and AI model integrations
Preferred Qualifications
- Bachelor's degree in Computer Science or a related field.
- Strong problem-solving and analytical skills.
- Good communication and teamwork abilities.
- Passion for learning new technologies, especially AI, cloud technologies, and modern software development.
Job Responsibilities:
- Understand the problem first-hand. Spend time with the product owner or the ops team that has the problem, and see how the work happens today rather than working from a requirements document alone.
- Design, build and ship end to end. API and data model through to the screen the user touches. Backend and frontend are both yours.
- Take it to production and keep it healthy. Deploy it, monitor it, and act on what the monitoring tells you. Errors, latency, failed jobs and data quality are yours to watch — and ideally you spot the issue before someone reports it.
- Be mindful of what it costs to run. Every service you deploy carries an infrastructure bill. Think about instance sizing, storage, query patterns, log volume and the cost of third-party API calls before you ship, and raise it early when something is likely to get expensive.
- Integrate cleanly with vendors and partners. A large part of our platform is third-party: bureaus, banks, KYC providers, payment rails, co-lenders. Working well with vendor teams, reading their documentation carefully and handling their failure modes gracefully is core to the job, not a distraction from it.
- Be accountable for what you commit to. Give estimates you believe in, flag slippage early, and keep the status visible.
- Leave it documented. A runbook, an API contract, and a short note on any non-obvious decision, so the next engineer — or the next agent — can pick it up without you.
- Build securely by default. We are a regulated lender. Customer and credit data handling, access control, audit trails and PII discipline are part of the definition of done, not a later hardening pass.
Skills Required:
JavaScript , TypeScript , Node.js , API Design , Relational Data Modelling , SQL , Vendor Integration , Third-party Integration , Authentication , Retries , Idempotency , Webhooks , Rate Limits , Queues , Background Jobs , Scheduled Work , React , Component Design , State Management , CSS , Git , CI/CD , DevOps , Containers , AWS , Monitoring , Cost Awareness , Troubleshooting , Documentation , Security
Candidate Attributes:
- Strong JavaScript/TypeScript and Node.js.
- You can design an API, not only implement one.
- Relational data modelling and SQL you can reason about — indexes, query plans, transactions, migrations on live tables.
- Vendor and third-party integrations, done well: authentication, retries, idempotency, webhooks, rate limits, sandbox-to-production rollout, and reconciliation when the other side fails mid-flow.
- Comfort working directly with a vendor's technical team to get an integration over the line.
- Queues, background jobs and scheduled work, including what happens when a job runs twice.
- React with TypeScript.
- Component design, state management, forms that hold up under real user behaviour.
- Enough CSS and layout sense to build a clean screen without a pixel-perfect design handed to you.
- Performance and correctness on the browser side: loading states, error states, the ugly edge cases.
- Tests you actually write. Shipping agent-assisted code at volume only works if the test coverage holds it up.
- Git discipline, CI/CD, and enough DevOps grounding to be self-sufficient: containers, environment configuration, pipelines, deployments and rollbacks.
- You do not need to be an SRE, but you should not need one for routine work.
- AWS fundamentals: how your service runs, scales and fails.
- Instrumenting what you build — logs, metrics, alerts — so problems surface on a dashboard rather than in a customer complaint.
- Reading monitoring output and acting on it: triaging an alert, finding the root cause, and closing the loop with a fix or a tuned threshold rather than muting it.
- An eye on infrastructure cost. Knowing roughly what your service costs to run, spotting the query, log stream or API call pattern that is quietly expensive, and factoring that into design decisions.
We are looking for an experienced Senior Full-Stack Developer to join our engineering team in Hyderabad. This is a hands-on role for someone with strong experience in Node.js, Angular, PHP, MySQL, and Redis, along with working knowledge of Python, API development, automation testing, third-party integrations, and modern engineering practices.
The ideal candidate should be comfortable owning features end-to-end across frontend, backend, APIs, databases, integrations, testing, and production support.
Key Responsibilities
· Design, develop, test, and maintain scalable web applications using Node.js, Angular, PHP, MySQL, and Redis.
· Build and integrate REST APIs, third-party platforms, external services, and multiple service providers.
· Work with Postman for API development and testing, Playwright for end-to-end automation testing, and Python for scripting or supporting services.
· Troubleshoot application, API, database, integration, and production issues.
· Participate in technical design, architecture discussions, code reviews, and mentoring.
· Write clean, secure, maintainable, and well-tested code with a focus on performance and scalability.
Required Skills & Experience
· 5+ years of professional software development experience.
· Strong hands-on experience with Node.js, Angular, TypeScript, PHP, MySQL, and Redis.
· Strong experience with REST APIs, third-party integrations, external systems, authentication, and API security.
· Good working knowledge of Python, Postman, Playwright, Git, HTML, CSS, and JavaScript.
· Experience with database design, SQL optimization, caching, debugging, unit testing, and production troubleshooting.
· Good understanding of software architecture, application security, performance, scalability, and maintainability.
· Strong problem-solving, ownership, and communication skills.
AI-Assisted Development
We are looking for developers who actively use modern AI tools such as GitHub Copilot, ChatGPT, Claude, Cursor, or similar tools to improve development speed and quality.
Candidates should be comfortable using AI for coding, refactoring, debugging, testing, understanding existing codebases, API/SQL development, documentation, code reviews, and automating repetitive tasks, while maintaining strong engineering judgment, security, and code quality.
Good to Have
Experience with CI/CD, AWS/Azure, microservices, Linux, and monitoring/logging tools would be an advantage.
What We Are Looking For
We are looking for a strong hands-on engineer who can independently own technical problems, work across the full stack, contribute to architecture decisions, and collaborate effectively with an international team.
The candidate must be willing to work from our Hyderabad office during UK business hours.
Full-Stack Engineer (AI-Native) | 2-4 Years Experience
About the Role
We're hiring a Full-Stack Engineer who is equally comfortable building a polished Next.js interface and a reliable NestJS API behind it. You'll build customer-facing products, including AI-powered features like chat interfaces, streaming responses, and agent-driven workflows. You'll own features end to end, from database schema to UI, and use AI tools daily to ship faster without lowering the quality bar.
What You'll Do
Frontend
- Build responsive, accessible, high-performance UIs with React, Next.js (App Router, RSC) and TypeScript
- Build AI-facing interfaces: streaming chat UIs, tool-call/agent-status displays, and loading, error, and retry states for non-deterministic outputs
- Monitor web vitals and fix performance regressions
Backend
- Design and build scalable REST/GraphQL APIs and services with Node.js and NestJS
- Model, query, and optimize data in PostgreSQL (schema design, indexing, migrations) using an ORM like Prisma or Drizzle
- Implement auth, authorization, validation, background jobs, queues, and caching (Redis)
- Integrate LLM APIs (OpenAI, Anthropic, Gemini), including streaming (SSE/WebSockets), tool calling, retries, rate limits, and cost/latency control
AI-Assisted Engineering
- Use AI coding tools (Cursor, Claude Code, Copilot, etc.) for scaffolding, refactoring, debugging, and test writing
- Write and maintain project context for AI tools (rules files, AGENTS.md/CLAUDE.md, reusable prompts) so the whole team gets better output
- Review AI-generated code critically for correctness, security, performance, and maintainability
Team and Delivery
- Write unit, integration, and E2E tests, using AI to speed them up rather than skip them
- Take part in code reviews, sprint planning, architecture discussions, and on-call/incident follow-ups
- Document APIs, decisions, and runbooks clearly
Must-Have (Non-Negotiable)
Frontend
- Strong JavaScript (ES6+) and TypeScript
- React (hooks, state management, rendering behavior) and Next.js (App Router, SSR/SSG/RSC)
- HTML/CSS fundamentals, Tailwind or similar, responsive design, and accessibility basics
Backend
- Production experience with Node.js and a structured framework (NestJS preferred; Express/Fastify with good architecture is fine)
- Solid PostgreSQL skills: relational modeling, joins, indexes, transactions, query optimization
- API design: REST principles, pagination, versioning, error handling, input validation
- Authentication and authorization (JWT, OAuth2, sessions, RBAC)
Engineering Fundamentals
- Git, PR workflows, and code review habits
- Testing across layers (Jest/Vitest, React Testing Library, API/integration tests; Playwright/Cypress is a plus)
- Basic security awareness (OWASP top 10, secrets management, input sanitization)
AI-Assisted Development
- Daily, hands-on use of at least one AI coding tool (Cursor, Claude Code, Copilot, Windsurf, or similar)
- Ability to write clear prompts, give useful context, and break big tasks into steps an AI can handle
- Habit of reviewing, testing, and understanding AI output before committing it
- Basic understanding of how LLMs work: context windows, hallucinations, token cost, and why outputs vary
Nice to Have
- Redis, message queues (BullMQ, SQS, Kafka), or event-driven architecture
- Monorepo tooling (Turborepo, pnpm workspaces, Nx)
- Design system or component library work (shadcn/ui, Radix, Storybook)
- tRPC, GraphQL, or OpenAPI-driven type-safe clients
- Multi-tenant SaaS, payments (Stripe/Razorpay), or real-time features
- Open-source contributions, a side project, or shipped AI features you can demo
What We Expect From You
- Ownership: take a feature from schema to UI to production, and flag risks early
- Judgment over speed: AI makes you faster, and you're still accountable for every line you ship
- Security awareness: no secrets in prompts, no blind copy-paste of AI code, and sensitive data stays out of third-party tools
- Systems thinking: consider scale, failure modes, and cost, not just the happy path
- Learning speed: the AI tooling landscape changes every few months, and you keep up and share what works
- Clear communication: PRs, docs, and async updates that others can follow
If interested for this job pls contact us on this WhatsApp number, nine three one six one two zero one three two
Job Responsibilities:
- Strong JavaScript/TypeScript and Node.js. You can design an API, not only implement one.
- Relational data modelling and SQL: you can reason about indexes, query plans, transactions, and migrations on live tables.
- Vendor and third-party integrations, done well: authentication, retries, idempotency, webhooks, rate limits, sandbox-to-production rollout, and reconciliation when the other side fails mid-flow.
- Comfort working directly with a vendor's technical team to get an integration over the line.
- Queues, background jobs and scheduled work, including what happens when a job runs twice.
- React with TypeScript. Component design, state management, forms that hold up under real user behaviour.
- Enough CSS and layout sense to build a clean screen without a pixel-perfect design handed to you.
- Performance and correctness on the browser side: loading states, error states, the ugly edge cases.
- Tests you actually write. Shipping agent-assisted code at volume only works if the test coverage holds it up.
- Git discipline, CI/CD, and enough DevOps grounding to be self-sufficient: containers, environment configuration, pipelines, deployments and rollbacks. You do not need to be an SRE, but you should not need one for routine work.
- AWS fundamentals: how your service runs, scales and fails.
- Instrumenting what you build logs, metrics, alerts so problems surface on a dashboard rather than in a customer complaint.
- Reading monitoring output and acting on it: triaging an alert, finding the root cause, and closing the loop with a fix or a tuned threshold rather than muting it.
- An eye on infrastructure cost. Knowing roughly what your service costs to run, spotting the query, log stream or API call pattern that is quietly expensive, and factoring that into design decisions.
- You are comfortable with ambiguity and will go and resolve it often by asking the ops or product team directly.
- You share status without being prompted, including when the news is not good.
- You care whether the change worked for the business, not only whether the story was closed.
- Understand the problem first-hand. Spend time with the product owner or the ops team that has the problem, and see how the work happens today rather than working from a requirements document alone.
- Design, build and ship end to end. API and data model through to the screen the user touches. Backend and frontend are both yours.
- Take it to production and keep it healthy. Deploy it, monitor it, and act on what the monitoring tells you. Errors, latency, failed jobs and data quality are yours to watch and ideally you spot the issue before someone reports it.
- Be mindful of what it costs to run. Every service you deploy carries an infrastructure bill. Think about instance sizing, storage, query patterns, log volume and the cost of third-party API calls before you ship, and raise it early when something is likely to get expensive.
- Integrate cleanly with vendors and partners. A large part of our platform is third-party: bureaus, banks, KYC providers, payment rails, co-lenders. Working well with vendor teams, reading their documentation carefully and handling their failure modes gracefully is core to the job, not a distraction from it.
- Be accountable for what you commit to. Give estimates you believe in, flag slippage early, and keep the status visible.
- Leave it documented. A runbook, an API contract, and a short note on any non-obvious decision, so the next engineer or the next agent can pick it up without you.
- Build securely by default. We are a regulated lender. Customer and credit data handling, access control, audit trails and PII discipline are part of the definition of done, not a later hardening pass
Skills Required:
JavaScript , TypeScript , Node.js , API Design , Relational Data Modelling , SQL , Indexing , Query Optimization , Transactions , Database Migrations , Vendor Integration , Authentication , Retries , Idempotency , Webhooks , Rate Limiting , Queues , Background Jobs , Scheduled Work , React , Component Design , State Management , Forms , CSS , Layout Design , Performance Optimization , Error Handling , Testing , Git , CI/CD , DevOps , Containers , Environment Configuration , Pipelines , Deployments , Rollbacks , AWS , Monitoring , Logging , Metrics , Alerting , Cost Awareness , Problem Solving , Communication , Accountability , Documentation , Security , Data Handling , Access Control , Audit Trails , PII Discipline
Candidate Attributes:
- Passion and hunger to make a dent in the MSME ecosystem
- AI-first in how you build
- Comfortable on either side of the API boundary
- Comfort working directly with a vendor's technical team to get an integration over the line
- Enough CSS and layout sense to build a clean screen without a pixel-perfect design handed to you
- Comfortable with ambiguity and will go and resolve it often by asking the ops or product team directly
- Share status without being prompted, including when the news is not good
- Care whether the change worked for the business, not only whether the story was closed
- Service or a customer journey, designs across services
- Sets patterns others follow and embeds with a business function
- Shapes what gets built
About the Job -
We have always been in the spotlight for being adeptin “the next big technologies”. What we can offer you is a space to explore varied technologies and quench your techie soul. We are looking for Developer skilled in technologieslike Node.js and AWS who also holds experience with user-interface design.
Responsibilities: ● The full stack developer will be responsible for design and development of scalable and flexible web applications and creating API to connect to databases and applications from back-end to client-side code, using optimal and efficient technologies, frameworks, and patterns.
● Take responsibility for design, implementation and maintain existing development ecosystem, including bugs – fixing, design and develop new custom components to meet project requirements.
● Working with other developers and software engineers to develop front-end and back-end architecture that's well-structured and flexible, along with the APIs to support it.
● Install and configure server environments for React deployments maintain and update project dependencies as well as fix any conflicts.
● Responsible for regular communication with developer team involved in the development process and testing of new features in the application
● Analyzing requirements and designing new functionality for new projects with cutting edge technology with research on optimization and new features for the existing product by ensuring a required level of performance.
● Candidate must be abreast with latest technologies and trends, relevant standards should be able to work effectively in a multidisciplinary, multinational team environment focused on innovation with comfortable working on a range of problems.
Desired Competencies(Technical/Behavioral Competency) – Must Have-
● Nodejs, MongoDB, Socket.IO and Redis.
● Proficient in Node.js and MongoDB and working knowledge of JavaScript, JQuery, HTML, CSS, frameworks (Angular.js, React.js)
● Experience with Unix/Linux or Windows and/or Mac environments, distributed systems
● Excellent practical knowledge of OOP concepts and SOLID principles ● Microservices and agile development
● Hands-on experience with cloud (AWS) development/hosting.
● Experience with Web services development (SOAP, REST)
● Strong in Object Oriented Programming, MVC, Design patterns and SOLID principles.
Skills Required:
- Node.js
- MongoDB
- Angular
- API optimization
- Micro Services
- Multi threading
- Socket.io
Gen AI Full stack Developer:
We're looking for a Full Stack Software Engineer to help build Gen-AI applications for energy industry. If you are interested in leverage cutting-edge techniques to build APIs and complex data pipelines with end-to-end ownership of the feature you build alongside a team of some of the best engineers in the energy industry, then you will love working at Enverus. We are looking for a developer with a natural curiosity, and preferably someone who has full stack experience and a willingness to pick up additional skills on the job!
The Team:
You will join our software engineering team which focus on the forefront of innovation in the energy industry. Here, you'll be part of a highly collaborative and agile group dedicated to prototyping and leveraging cutting-edge technologies to develop new products and solutions. Come join the team and help pioneer Enverus’ mission to drive the future of energy.
What you will do:
• Full Stack Development: Design and implement user-facing features using modern frontend frameworks (React, TypeScript) integrated with Python-based backend services
• Scalable APIs: Develop RESTful APIs and microservices that power GenAI applications across the platform
• Data Pipelines: Build and maintain data processing workflows using AWS services (S3, Lambda, DynamoDB, OpenSearch)
• End-to-End Features: Own features from concept to production—frontend, backend, database, and deployment
• GenAI Integration: Implement and optimize AI/ML model integrations, including LLMs and agentic workflows
• Modern Engineering: Work in an agile environment with CI/CD, automated testing, code reviews, and continuous improvement
What You Bring
Required
• Education: Bachelor's degree in Computer Science or related field
• Experience: 4+ years as a software developer with full stack exposure
• Backend Expertise: Strong Python, TypeScript skills with experience building APIs and backend services
• Frontend Proficiency: Experience with modern JavaScript frameworks (React, Vue, or Angular) and TypeScript
• Cloud Architecture: Hands-on experience with AWS services (S3, Lambda, DynamoDB, API Gateway)
• Database Knowledge: Proficiency with both relational (PostgreSQL/MySQL) and NoSQL databases
• DevOps Mindset: Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and version control (Git)
• Problem Solving: Strong foundation in data structures, algorithms, and system design
• Communication: Excellent English communication skills; able to collaborate effectively across teams











